Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6410D7080655D3392C389D8A3E59B0BB2C3C748CB970A1443EC87DD6ED3C86DEA1244 |
|
CONTENT
ssdeep
|
24:j0ruyC/5OKNeCLrNlanwDBVNAtSi7zlSDvY320+SPL8TGWNrHUMZ2NZENux7sWWZ:j0G5OKN3LZMnYGtSi7zGYn746kZ0ok0Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a333cccc99336699 |
|
VISUAL
aHash
|
ffffe7e7e7e7ffff |
|
VISUAL
dHash
|
300c4d4d4d4d0c30 |
|
VISUAL
wHash
|
0f0f0303e0e0fcfc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
300c4d4d4d4d0c30,828082ea6ae280a2,a280a2e262e280a2,34d469e8e2aa92b2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
| ID | Português | Inglês | Trigger |
|---|---|---|---|